Dear readers,
Last month, Alphien was honoured to receive the Finance Innovation label for its upcoming project, Alphathon. Alphathons are financial data science competitions organised on our online platform, where investment managers create quantitative finance challenges for Alphien’s research community to solve. Participants who build winning strategies will receive prize monies and will have their strategies licensed through Alphien’s distribution channel.
The Finance Innovation label rewards the best innovative projects presented by French FinTechs servicing the financial industry. Projects receiving the label have been evaluated by expert as having the ability to bring innovation, alongside a structured and credible development plan and business model, supported by a team with the necessary skills.
Here is an article (in French) on Alphien receiving the Finance Innovation label.
We are expecting to officially launch Alphathons on our platform in Q3/2019. Stay tuned for more exciting updates!
Image: Laureates of the Finance Innovation label in the Asset Management category. Hervé (second from the left) was representing Alphien. More than 1,000 participants attended the Fin&Tech Community event on 19 June 2019.
BUSINESS
Organising Alphathons on the platform is our main commercial objective for the coming months. Two Alphathons are currently being negotiated with blue-chip asset managers. To prepare for the Alphathons, we are revamping the website and building the first version of the client portal over this summer.
COMMUNITY
We are keeping up our efforts to provide reliable data and advanced financial libraries to our community so that their research workflow is as effective as possible. We are revamping the way users can explore financial data. We will soon release a more intuitive data screening approach, based on a user-friendly classification interface. This will allow researchers to conveniently scan through the numerous datasets that are available on the platform. A better understanding of the data universe gives users the flexibility to include more features in their models or to explore new ideas.
In addition, we have improved the way researchers write strategies on the platform. We have designed an intuitive grammar to create and compose trading signals. With such grammar, it becomes easier to combine different strategies and have more granular signals. With such a powerful tool, we have no doubt our community will be able engineer original quantitative models and strategies.